51 research outputs found
Who published in Chinese predatory journals? A study on the authorship of blacklist journals
This poster reported a study which examined 93,653 authorship records of 67 predatory journals listed in a well-known blacklist in China. By collecting and analyzing each author's full name and affiliated institution information, their organization distribution were studied. Then the authorship dataset was compared and matched up with the records in the biggest full-text academic literature database China National Knowledge Infrastructure (CNKI) to identify each authors' publishing productivity (number of publications) and influence (number of downloads). The results showed that those who publish in predatory journals are young and inexperienced researchers from teaching-intensive universities all over the country, and most of them are from eastern coastal and developed areas of mainland China. The study also showed that some productive and influential researchers had the experience of publishing in predatory journals
Interplay between Defects and Short-Range Disorder Manipulating the Oxygen Evolution Reaction on a Layered Double Hydroxide Electrocatalyst
Improving the efficiency of the oxygen evolution reaction (OER) is crucial for advancing sustainable and environmentally friendly hydrogen energy. Layered double hydroxides (LDHs) have emerged as promising electrocatalysts for the OER. However, a thorough understanding of the impact of structural disorder and defects on the catalytic activity of LDHs remains limited. In this work, a series of NiAl-LDH models are systematically constructed, and their OER performance is rigorously screened through theoretical density functional theory. The acquired results unequivocally reveal that the energy increase induced by structural disorder is effectively counteracted at the defect surface, indicating the coexistence of defects and disorder. Notably, it is ascertained that the simultaneous presence of defects and disorder synergistically augments the catalytic activity of LDHs in the context of the OER. These theoretical findings offer valuable insights into the design of highly efficient OER catalysts while also shedding light on the efficacy of LDH electrocatalysts
Assembly, annotation, and comparative analysis of Ipomoea chloroplast genomes provide insights into the parasitic characteristics of Cuscuta species
In the Convolvulaceae family, around 1650 species belonging to 60 genera are widely distributed globally, mainly in the tropical and subtropical regions of America and Asia. Although a series of chloroplast genomes in Convolvulaceae were reported and investigated, the evolutionary and genetic relationships among the chloroplast genomes of the Convolvulaceae family have not been extensively elucidated till now. In this study, we first reported the complete chloroplast genome sequence of Ipomoea pes-caprae, a widely distributed coastal plant with medical values. The chloroplast genome of I. pes-caprae is 161667 bp in length, and the GC content is 37.56%. The chloroplastic DNA molecule of I. pes-caprae is a circular structure composed of LSC (large-single-copy), SSC (small-single-copy), and IR (inverted repeat) regions, with the size of the three regions being 88210 bp, 12117 bp, and 30670 bp, respectively. The chloroplast genome of I. pes-caprae contains 141 genes, and 35 SSRs are identified in the chloroplast genome. Our research results provide important genomic information for the molecular phylogeny of I. pes-caprae. The Phylogenetic analysis of 28 Convolvulaceae chloroplast genomes showed that the relationship of I. pes-caprae with I. involucrata or I. obscura was much closer than that with other Convolvulaccae species. Further comparative analyses between the Ipomoea species and Cuscuta species revealed the mechanism underlying the formation of parasitic characteristics of Cuscuta species from the perspective of the chloroplast genome
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwannoma and Cochlea Segmentation
Domain Adaptation (DA) has recently raised strong interests in the medical
imaging community. While a large variety of DA techniques has been proposed for
image segmentation, most of these techniques have been validated either on
private datasets or on small publicly available datasets. Moreover, these
datasets mostly addressed single-class problems. To tackle these limitations,
the Cross-Modality Domain Adaptation (crossMoDA) challenge was organised in
conjunction with the 24th International Conference on Medical Image Computing
and Computer Assisted Intervention (MICCAI 2021). CrossMoDA is the first large
and multi-class benchmark for unsupervised cross-modality DA. The challenge's
goal is to segment two key brain structures involved in the follow-up and
treatment planning of vestibular schwannoma (VS): the VS and the cochleas.
Currently, the diagnosis and surveillance in patients with VS are performed
using contrast-enhanced T1 (ceT1) MRI. However, there is growing interest in
using non-contrast sequences such as high-resolution T2 (hrT2) MRI. Therefore,
we created an unsupervised cross-modality segmentation benchmark. The training
set provides annotated ceT1 (N=105) and unpaired non-annotated hrT2 (N=105).
The aim was to automatically perform unilateral VS and bilateral cochlea
segmentation on hrT2 as provided in the testing set (N=137). A total of 16
teams submitted their algorithm for the evaluation phase. The level of
performance reached by the top-performing teams is strikingly high (best median
Dice - VS:88.4%; Cochleas:85.7%) and close to full supervision (median Dice -
VS:92.5%; Cochleas:87.7%). All top-performing methods made use of an
image-to-image translation approach to transform the source-domain images into
pseudo-target-domain images. A segmentation network was then trained using
these generated images and the manual annotations provided for the source
image.Comment: Submitted to Medical Image Analysi
Comparative Study of the Thermal Enhancement for Spacecraft PCM Thermal Energy Storage Units
To access the enhancement effect of the topology optimization and porous foam structure, numerical studies were conducted to investigate the heat conduction enhancement (by metal foam, graphite foam, topologically optimized fins, and combinations of metal foam and topologically optimized fins) of phase change material (PCM (n-octadecane)) based tubular thermal energy storage unit for spacecraft. The results showed that metal foam performed better than topologically optimized fins and a combination of metal foam and topology optimized fins, of which conductive material, unit mass, and volume fraction of PCM were the same. Graphite foam (140 W/(m·K)) had the best heat transfer enhancing effect, making PCM melt much faster than other enhancing methods investigated. A multi-criteria decision-making (MCDM) method integrated with the combined weight and TOPSIS method was introduced to evaluate the preferred alternatives’ performance based on the energy storage time, equivalent density, and energy storage. The evaluation pointed out that 3% topologically optimized aluminum fins with 98% copper foam had the best comprehensive performance. This study guided the optimal design of latent heat thermal energy storage units for spacecraft under microgravity
The effects of nutritional supplementation on older sarcopenic individuals who engage in resistance training: a meta-analysis
ObjectiveSarcopenia is a typical age-related disorder characterized by loss of muscle mass, strength, and physical function. Resistance training has a noticeable effect on sarcopenia, but there is no consensus on whether nutritional supplements can boost this effect. We conducted a meta-analysis of relevant literature to investigate the therapeutic effect of resistance training combined with nutrition intervention on sarcopenia compared with resistance training alone.MethodsCochrane Library, PubMed, Web of Science, Embase, Sinomed, CNKI, VIP, and Wanfang Data were searched for relevant studies on resistance training combined with nutritional intervention for aging adults with sarcopenia. The retrieval period ranged from the inception of the databases to May 24, 2022. Literature screening and information extraction were performed by two researchers. The Physiotherapy Evidence Database (PEDro) scale was adopted for literature quality evaluation and Stata 15.0 software for analysis.ResultsTwelve clinical trials were included, involving 713 older adults diagnosed with sarcopenia, of whom 361 were assigned to the experimental group and 352 to the control group. Compared with the control group, grip strength of the experimental group was substantially elevated [WMD = 1.87, 95% CI (0.01, 3.74), P = 0.049]. Subgroup analysis demonstrated that vitamin D and protein increased grip strength and gait speed. There were no significant improvement in grip strength and gait speed in the protein and vitamin D free subgroup.ConclusionsThis meta-analysis demonstrated that resistance training combined with additional nutritional supplementation, especially compound nutritional supplements that included protein and vitamin D, might further enhance grip strength rather than muscle mass in older adults with sarcopenia.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO/, identifier: CRD42022346734
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